An epidemiological human disease network derived from disease Co-occurrence in Taiwan

Yefei Jiang, Shuangge Ma, Ben Chang Shia, Tian Shyug Lee

研究成果: 雜誌貢獻文章同行評審

14 引文 斯高帕斯(Scopus)


In "classic" biomedical research, diseases have usually been studied individually. The pioneering human disease network (HDN) studies jointly consider a large number of diseases, analyse their interconnections, and provide a more comprehensive description of diseases. However, most of the existing HDN studies are based on molecular information and can only partially describe disease interconnections. Building on the unique Taiwan National Health Insurance Research Database (NHIRD), in this study, we construct the epidemiological HDN (eHDN), where two diseases are concluded as interconnected if their observed probability of co-occurrence deviating that expected under independence. Advancing from the existing HDN, the eHDN can also accommodate non-molecular connections and have more important practical implications. Building on the network construction, we examine important network properties such as connectivity, module, hub, and others and describe their temporal patterns. This study is among the first to systematically construct the eHDN and can have important implications for human disease research and health care and management.

期刊Scientific Reports
出版狀態已發佈 - 12月 1 2018

ASJC Scopus subject areas

  • 多學科


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